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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |  Knowledge Modeling IBIS |  Decision Making Impact Filter |
|---|---|---|---|---|
Purposedifferent | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | With new ideas or requests, the conversation often turns to solutions too early and to effect too little. An Impact Filter forces the initiative into an effect perspective and checks whether it creates a relevant difference. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | Mehrere Wochen | 3-14 Tage | 1-3 h | 20-45 min |
Participantsdifferent | 2-6 researchers plus sample | 50+ | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights | Issue Map, Positions, Argument Notes | Impact Filter, Success Criteria, Next Step |
Tagsno overlap | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation | RationaleKnowledgeDecision | ImpactOutcomesFramingDecision |